Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A 3D Touchless Hand Navigation Sensor for Small-Size and Low-Power Applications

Full metadata record
DC Field Value Language
dc.contributor.authorHan, Ji Hee-
dc.contributor.authorKim, Jeong Seok-
dc.contributor.authorKee, Min-Sun-
dc.contributor.authorKim, Yong Sin-
dc.date.accessioned2021-09-01T12:27:35Z-
dc.date.available2021-09-01T12:27:35Z-
dc.date.created2021-06-19-
dc.date.issued2019-07-01-
dc.identifier.issn1530-437X-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/64193-
dc.description.abstractModern electronic devices have been designed to allow many types of human-machine interfaces with flexibility. One of the user-friendly navigations is interfacing a human hand, but the implementation using conventional devices, such as additional controllers or image sensors, requires a larger size or a higher power. In this paper, a small-size and low-power 3D touchless hand navigation sensor (HNS) is presented. The proposed HNS based on a proximity sensor consists of an LED and integrated photosensors. The x- and y-directions can be controlled by tilting a hand in the x-axis and the y-axis without the need of swiping. The distance between the hand and HNS in the z-axis is calculated by the photosensor dedicated to the z-axis. The experimental results show that the proposed HNS is superior to other types of navigation sensors in terms of size and power.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectMOTION GESTURE SENSOR-
dc.subjectSYSTEM-
dc.titleA 3D Touchless Hand Navigation Sensor for Small-Size and Low-Power Applications-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Yong Sin-
dc.identifier.doi10.1109/JSEN.2019.2903174-
dc.identifier.scopusid2-s2.0-85067112767-
dc.identifier.wosid000471023000021-
dc.identifier.bibliographicCitationIEEE SENSORS JOURNAL, v.19, no.13, pp.4907 - 4913-
dc.relation.isPartOfIEEE SENSORS JOURNAL-
dc.citation.titleIEEE SENSORS JOURNAL-
dc.citation.volume19-
dc.citation.number13-
dc.citation.startPage4907-
dc.citation.endPage4913-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaInstruments & Instrumentation-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.subject.keywordPlusMOTION GESTURE SENSOR-
dc.subject.keywordPlusSYSTEM-
dc.subject.keywordAuthorHand-
dc.subject.keywordAuthornavigation-
dc.subject.keywordAuthortouchless-
dc.subject.keywordAuthor3D-
dc.subject.keywordAuthorlow-power-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE